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29 September 1994 All-optical video alarm system uses SLRs to demonstrate unsupervised learning
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Abstract
An all-optical video alarm system was constructed and tested to demonstrate unsupervised learning. Previously we showed experimental results in which Hebbian learning was used in a supervised learning system for optical heteroassociative memory. We show the relation between Perceptron learning and supervised Hebbian learning and then show how the latter may be evolved into the unsupervised Hebbian learning used in this paper. The concept is first explained using an optical perceptron like set up with a delay and a spatial light modulator made of electron trapping material. The delay is accomplished using two SLRs. Two cycles are used in a folded system so that the same image intensifier/liquid crystal light valve combination may be used for reading both SLRs. Experimental results show the correct functioning of the system.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alastair D. McAulay and Junqing Wang "All-optical video alarm system uses SLRs to demonstrate unsupervised learning", Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); https://doi.org/10.1117/12.187278
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